Pandas Profiling Report

Dataset statistics

Number of variables	20
Number of observations	338592
Missing cells	2788
Missing cells (%)	< 0.1%
Duplicate rows	309470
Duplicate rows (%)	91.4%
Total size in memory	51.7 MiB
Average record size in memory	160.0 B

Variable types

Numeric	12
Categorical	8

Warnings

Dataset has 309470 (91.4%) duplicate rows	Duplicates
`Jyuni1` has a high cardinality: 29022 distinct values	High cardinality
`Jyuni2` has a high cardinality: 29023 distinct values	High cardinality
`LapTime14` is highly correlated with `LapTime15`	High correlation
`LapTime15` is highly correlated with `LapTime14`	High correlation
`SyogaiMileTime` is highly correlated with `HaronTimeS3` and 1 other fields	High correlation
`HaronTimeS3` is highly correlated with `SyogaiMileTime` and 1 other fields	High correlation
`HaronTimeS4` is highly correlated with `SyogaiMileTime` and 1 other fields	High correlation
`HaronTimeL3_y` is highly correlated with `HaronTimeL4`	High correlation
`HaronTimeL4` is highly correlated with `HaronTimeL3_y`	High correlation
`Corner1` is highly correlated with `Corner2` and 1 other fields	High correlation
`Corner2` is highly correlated with `Corner1`	High correlation
`Corner3` is highly correlated with `Corner1` and 1 other fields	High correlation
`Syukaisu3` is highly correlated with `Corner3`	High correlation
`Syukaisu1` is highly correlated with `Syukaisu2`	High correlation
`Syukaisu2` is highly correlated with `Syukaisu1`	High correlation
`Corner2` is highly correlated with `Corner1` and 1 other fields	High correlation
`Corner1` is highly correlated with `Corner2` and 1 other fields	High correlation
`Corner3` is highly correlated with `Corner2` and 1 other fields	High correlation
`LapTime14` is highly skewed (γ1 = 21.49421501)	Skewed
`LapTime15` is highly skewed (γ1 = 21.53415303)	Skewed
`LapTime16` is highly skewed (γ1 = 30.37514684)	Skewed
`LapTime17` is highly skewed (γ1 = 40.39765295)	Skewed
`LapTime18` is highly skewed (γ1 = 50.12206898)	Skewed
`Jyuni1` is uniformly distributed	Uniform
`Jyuni2` is uniformly distributed	Uniform
`LapTime12` has 327013 (96.6%) zeros	Zeros
`LapTime13` has 334607 (98.8%) zeros	Zeros
`LapTime14` has 337861 (99.8%) zeros	Zeros
`LapTime15` has 337861 (99.8%) zeros	Zeros
`LapTime16` has 338225 (99.9%) zeros	Zeros
`LapTime17` has 338384 (99.9%) zeros	Zeros
`LapTime18` has 338457 (> 99.9%) zeros	Zeros
`SyogaiMileTime` has 326734 (96.5%) zeros	Zeros
`HaronTimeS3` has 11858 (3.5%) zeros	Zeros
`HaronTimeS4` has 11858 (3.5%) zeros	Zeros

Reproduction

Analysis started	2021-04-07 13:07:15.877349
Analysis finished	2021-04-07 13:08:46.176661
Duration	1 minute and 30.3 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

LapTime12
Real number (ℝ_≥0)

ZEROS

Distinct	40
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.175772021
Minimum	0
Maximum	152
Zeros	327013
Zeros (%)	96.6%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	152
Range	152
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	22.22288313
Coefficient of variation (CV)	5.321862166
Kurtosis	24.61883053
Mean	4.175772021
Median Absolute Deviation (MAD)	0
Skewness	5.150243682
Sum	1413883
Variance	493.8565347
Monotocity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
0	327013	96.6%
118	936	0.3%
119	882	0.3%
120	845	0.2%
121	784	0.2%
123	778	0.2%
122	755	0.2%
117	720	0.2%
116	716	0.2%
115	547	0.2%
Other values (30)	4616	1.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	327013	96.6%
108	8	< 0.1%
109	5	< 0.1%
110	37	< 0.1%
111	108	< 0.1%

Value	Count	Frequency (%)
152	11	< 0.1%
148	7	< 0.1%
145	11	< 0.1%
143	26	< 0.1%
142	31	< 0.1%

LapTime13
Real number (ℝ_≥0)

ZEROS

Distinct	28
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.445568708
Minimum	0
Maximum	141
Zeros	334607
Zeros (%)	98.8%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	141
Range	141
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	13.25662474
Coefficient of variation (CV)	9.170525527
Kurtosis	80.52111396
Mean	1.445568708
Median Absolute Deviation (MAD)	0
Skewness	9.076338245
Sum	489458
Variance	175.7380995
Monotocity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
0	334607	98.8%
120	427	0.1%
118	396	0.1%
121	367	0.1%
123	338	0.1%
125	324	0.1%
124	311	0.1%
122	278	0.1%
117	195	0.1%
119	161	< 0.1%
Other values (18)	1188	0.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	334607	98.8%
110	7	< 0.1%
112	22	< 0.1%
113	22	< 0.1%
114	37	< 0.1%

Value	Count	Frequency (%)
141	13	< 0.1%
137	37	< 0.1%
135	9	< 0.1%
134	50	< 0.1%
133	78	< 0.1%

LapTime14
Real number (ℝ_≥0)

HIGH CORRELATION
SKEWED
ZEROS

Distinct	19
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.2554992439
Minimum	0
Maximum	127
Zeros	337861
Zeros (%)	99.8%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	127
Range	127
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	5.496471687
Coefficient of variation (CV)	21.512673
Kurtosis	460.604255
Mean	0.2554992439
Median Absolute Deviation (MAD)	0
Skewness	21.49421501
Sum	86510
Variance	30.21120101
Monotocity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
0	337861	99.8%
116	101	< 0.1%
119	81	< 0.1%
114	67	< 0.1%
120	64	< 0.1%
118	63	< 0.1%
121	50	< 0.1%
122	48	< 0.1%
125	37	< 0.1%
117	36	< 0.1%
Other values (9)	184	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	337861	99.8%
107	16	< 0.1%
111	22	< 0.1%
112	17	< 0.1%
113	20	< 0.1%

Value	Count	Frequency (%)
127	26	< 0.1%
126	14	< 0.1%
125	37	< 0.1%
124	13	< 0.1%
123	28	< 0.1%

LapTime15
Real number (ℝ_≥0)

HIGH CORRELATION
SKEWED
ZEROS

Distinct	24
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.2600031897
Minimum	0
Maximum	139
Zeros	337861
Zeros (%)	99.8%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	139
Range	139
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	5.596627834
Coefficient of variation (CV)	21.5252276
Kurtosis	462.9645648
Mean	0.2600031897
Median Absolute Deviation (MAD)	0
Skewness	21.53415303
Sum	88035
Variance	31.32224312
Monotocity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
0	337861	99.8%
116	93	< 0.1%
117	72	< 0.1%
123	70	< 0.1%
124	67	< 0.1%
119	53	< 0.1%
120	52	< 0.1%
125	32	< 0.1%
118	32	< 0.1%
114	29	< 0.1%
Other values (14)	231	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	337861	99.8%
110	13	< 0.1%
111	11	< 0.1%
112	24	< 0.1%
113	16	< 0.1%

Value	Count	Frequency (%)
139	14	< 0.1%
134	23	< 0.1%
132	12	< 0.1%
131	11	< 0.1%
130	8	< 0.1%

LapTime16
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	13
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.1304283622
Minimum	0
Maximum	127
Zeros	338225
Zeros (%)	99.9%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	127
Range	127
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	3.961706571
Coefficient of variation (CV)	30.37457885
Kurtosis	921.66569
Mean	0.1304283622
Median Absolute Deviation (MAD)	0
Skewness	30.37514684
Sum	44162
Variance	15.69511896
Monotocity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
0	338225	99.9%
120	61	< 0.1%
122	51	< 0.1%
115	42	< 0.1%
125	35	< 0.1%
119	33	< 0.1%
117	32	< 0.1%
126	29	< 0.1%
124	28	< 0.1%
127	15	< 0.1%
Other values (3)	41	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	338225	99.9%
113	13	< 0.1%
114	15	< 0.1%
115	42	< 0.1%
117	32	< 0.1%

Value	Count	Frequency (%)
127	15	< 0.1%
126	29	< 0.1%
125	35	< 0.1%
124	28	< 0.1%
122	51	< 0.1%

LapTime17
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.07364911162
Minimum	0
Maximum	130
Zeros	338384
Zeros (%)	99.9%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	130
Range	130
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.972711062
Coefficient of variation (CV)	40.36316253
Kurtosis	1632.422203
Mean	0.07364911162
Median Absolute Deviation (MAD)	0
Skewness	40.39765295
Sum	24937
Variance	8.837011061
Monotocity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
0	338384	99.9%
125	36	< 0.1%
119	26	< 0.1%
118	25	< 0.1%
114	25	< 0.1%
117	21	< 0.1%
130	15	< 0.1%
121	13	< 0.1%
120	13	< 0.1%
115	13	< 0.1%
Other values (2)	21	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	338384	99.9%
114	25	< 0.1%
115	13	< 0.1%
116	12	< 0.1%
117	21	< 0.1%

Value	Count	Frequency (%)
130	15	< 0.1%
125	36	< 0.1%
124	9	< 0.1%
121	13	< 0.1%
120	13	< 0.1%

LapTime18
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.0497649088
Minimum	0
Maximum	132
Zeros	338457
Zeros (%)	> 99.9%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	132
Range	132
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.492951312
Coefficient of variation (CV)	50.09456206
Kurtosis	2512.610167
Mean	0.0497649088
Median Absolute Deviation (MAD)	0
Skewness	50.12206898
Sum	16850
Variance	6.214806245
Monotocity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	338457	> 99.9%
124	39	< 0.1%
126	38	< 0.1%
132	14	< 0.1%
129	13	< 0.1%
119	13	< 0.1%
121	10	< 0.1%
118	8	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	338457	> 99.9%
118	8	< 0.1%
119	13	< 0.1%
121	10	< 0.1%
124	39	< 0.1%

Value	Count	Frequency (%)
132	14	< 0.1%
129	13	< 0.1%
126	38	< 0.1%
124	39	< 0.1%
121	10	< 0.1%

SyogaiMileTime
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	111
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	51.38134392
Minimum	0
Maximum	1537
Zeros	326734
Zeros (%)	96.5%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	1537
Range	1537
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	269.7366053
Coefficient of variation (CV)	5.249699302
Kurtosis	23.61257891
Mean	51.38134392
Median Absolute Deviation (MAD)	0
Skewness	5.060294921
Sum	17397312
Variance	72757.83625
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	326734	96.5%
1468	373	0.1%
1462	331	0.1%
1464	307	0.1%
1458	302	0.1%
1472	298	0.1%
1445	286	0.1%
1457	271	0.1%
1455	264	0.1%
1473	259	0.1%
Other values (101)	9167	2.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	326734	96.5%
1418	13	< 0.1%
1420	11	< 0.1%
1421	5	< 0.1%
1423	40	< 0.1%

Value	Count	Frequency (%)
1537	12	< 0.1%
1535	10	< 0.1%
1531	22	< 0.1%
1529	11	< 0.1%
1528	12	< 0.1%

HaronTimeS3
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	131
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	340.2031649
Minimum	0
Maximum	413
Zeros	11858
Zeros (%)	3.5%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	295
Q1	343
median	354
Q3	365
95-th percentile	380
Maximum	413
Range	413
Interquartile range (IQR)	22

Descriptive statistics

Standard deviation	67.74083451
Coefficient of variation (CV)	0.1991187664
Kurtosis	19.31206423
Mean	340.2031649
Median Absolute Deviation (MAD)	11
Skewness	-4.408473186
Sum	115190070
Variance	4588.820661
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	11858	3.5%
354	9402	2.8%
349	8824	2.6%
353	8736	2.6%
356	8623	2.5%
350	8594	2.5%
351	8590	2.5%
348	8336	2.5%
357	8282	2.4%
355	8204	2.4%
Other values (121)	249143	73.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	11858	3.5%
282	12	< 0.1%
284	15	< 0.1%
285	11	< 0.1%
286	151	< 0.1%

Value	Count	Frequency (%)
413	37	< 0.1%
412	8	< 0.1%
411	11	< 0.1%
410	25	< 0.1%
409	27	< 0.1%

HaronTimeS4
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	158
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	459.7799771
Minimum	0
Maximum	563
Zeros	11858
Zeros (%)	3.5%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	421
Q1	462
median	476
Q3	491
95-th percentile	512
Maximum	563
Range	563
Interquartile range (IQR)	29

Descriptive statistics

Standard deviation	90.42439176
Coefficient of variation (CV)	0.1966688335
Kurtosis	20.43311316
Mean	459.7799771
Median Absolute Deviation (MAD)	15
Skewness	-4.568203963
Sum	155677822
Variance	8176.570626
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	11858	3.5%
472	6988	2.1%
478	6630	2.0%
474	6596	1.9%
476	6538	1.9%
477	6530	1.9%
471	6506	1.9%
470	6446	1.9%
473	6382	1.9%
469	6258	1.8%
Other values (148)	267860	79.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	11858	3.5%
399	12	< 0.1%
400	11	< 0.1%
403	30	< 0.1%
405	56	< 0.1%

Value	Count	Frequency (%)
563	13	< 0.1%
560	6	< 0.1%
558	16	< 0.1%
557	7	< 0.1%
555	13	< 0.1%

HaronTimeL3_y
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	110
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	366.6410518
Minimum	320
Maximum	444
Zeros	0
Zeros (%)	0.0%
Memory size	2.6 MiB

Quantile statistics

Minimum	320
5-th percentile	342
Q1	353
median	367
Q3	379
95-th percentile	394
Maximum	444
Range	124
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	16.45270134
Coefficient of variation (CV)	0.04487413851
Kurtosis	-0.5557437353
Mean	366.6410518
Median Absolute Deviation (MAD)	13
Skewness	0.2015163854
Sum	124141727
Variance	270.6913814
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
353	7729	2.3%
352	7592	2.2%
373	7501	2.2%
355	7345	2.2%
377	7149	2.1%
376	7145	2.1%
374	7049	2.1%
371	6976	2.1%
375	6930	2.0%
354	6829	2.0%
Other values (100)	266347	78.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
320	14	< 0.1%
321	11	< 0.1%
322	7	< 0.1%
323	46	< 0.1%
324	27	< 0.1%

Value	Count	Frequency (%)
444	11	< 0.1%
435	10	< 0.1%
433	12	< 0.1%
429	27	< 0.1%
428	12	< 0.1%

HaronTimeL4
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	142
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	488.100023
Minimum	420
Maximum	576
Zeros	0
Zeros (%)	0.0%
Memory size	2.6 MiB

Quantile statistics

Minimum	420
5-th percentile	459
Q1	472
median	487
Q3	503
95-th percentile	522
Maximum	576
Range	156
Interquartile range (IQR)	31

Descriptive statistics

Standard deviation	19.99662895
Coefficient of variation (CV)	0.04096830158
Kurtosis	-0.3685461297
Mean	488.100023
Median Absolute Deviation (MAD)	15
Skewness	0.2509365523
Sum	165266763
Variance	399.8651692
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
471	6436	1.9%
477	6276	1.9%
476	6181	1.8%
472	6065	1.8%
475	5964	1.8%
469	5962	1.8%
478	5937	1.8%
484	5934	1.8%
495	5909	1.7%
481	5791	1.7%
Other values (132)	278137	82.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
420	14	< 0.1%
423	39	< 0.1%
424	20	< 0.1%
426	12	< 0.1%
427	47	< 0.1%

Value	Count	Frequency (%)
576	11	< 0.1%
572	34	< 0.1%
567	21	< 0.1%
562	13	< 0.1%
561	10	< 0.1%

Corner1
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

3	180141
1	137510
2	19547
0	1394

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	338592
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3
3rd row	3
4th row	3
5th row	3

Value	Count	Frequency (%)
3	180141	53.2%
1	137510	40.6%
2	19547	5.8%
0	1394	0.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
3	180141	53.2%
1	137510	40.6%
2	19547	5.8%
0	1394	0.4%

Most occurring characters

Value	Count	Frequency (%)
3	180141	53.2%
1	137510	40.6%
2	19547	5.8%
0	1394	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	338592	100.0%

Most frequent character per category

Value	Count	Frequency (%)
3	180141	53.2%
1	137510	40.6%
2	19547	5.8%
0	1394	0.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	338592	100.0%

Most frequent character per script

Value	Count	Frequency (%)
3	180141	53.2%
1	137510	40.6%
2	19547	5.8%
0	1394	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	338592	100.0%

Most frequent character per block

Value	Count	Frequency (%)
3	180141	53.2%
1	137510	40.6%
2	19547	5.8%
0	1394	0.4%

Syukaisu1
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

1	331342
2	5856
0	1394

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	338592
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Value	Count	Frequency (%)
1	331342	97.9%
2	5856	1.7%
0	1394	0.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	331342	97.9%
2	5856	1.7%
0	1394	0.4%

Most occurring characters

Value	Count	Frequency (%)
1	331342	97.9%
2	5856	1.7%
0	1394	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	338592	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	331342	97.9%
2	5856	1.7%
0	1394	0.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	338592	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	331342	97.9%
2	5856	1.7%
0	1394	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	338592	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	331342	97.9%
2	5856	1.7%
0	1394	0.4%

Jyuni1
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	29022
Distinct (%)	8.6%
Missing	1394
Missing (%)	0.4%
Memory size	2.6 MiB

3,6(4,9,12,16)(7,14,17)-(5,15)(8,10)-(13,18)(2,1,11)	18
(*6,13)-12(5,14)8(2,17)(16,18)-4,10(1,7)(11,15)-9,3	18
6,12,17(1,4)18(2,13)5(7,16)(9,8,15)(11,14)3,10	18
2,5,6(3,11)10(1,12)(8,14)(7,13)(4,9,16)(15,17,18)	18
(*3,4)11(9,14)12(5,10,18)(15,16)-(13,7)17,6-2=1=8	18
Other values (29017)	337108

Length

Max length	56
Median length	40
Mean length	38.32565436
Min length	9

Characters and Unicode

Total characters	12923334
Distinct characters	17
Distinct categories	7 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	(*16,6)(1,9)(2,8,12)(5,14,15)-(3,4)10(7,11)13
2nd row	(*8,9)(1,12,13)5(4,14)(7,11)10(2,6)-3
3rd row	8,6(1,7)-(2,4)-9(5,3)
4th row	17,11(12,13)18(8,10)(5,7)2(3,9,16)(1,14,15)-6,4
5th row	(*16,6)(1,9)(2,8,12)(5,14,15)-(3,4)10(7,11)13

Value	Count	Frequency (%)
3,6(4,9,12,16)(7,14,17)-(5,15)(8,10)-(13,18)(2,1,11)	18	< 0.1%
(*6,13)-12(5,14)8(2,17)(16,18)-4,10(1,7)(11,15)-9,3	18	< 0.1%
6,12,17(1,4)18(2,13)5(7,16)(9,8,15)(11,14)3,10	18	< 0.1%
2,5,6(3,11)10(1,12)(8,14)(7,13)(4,9,16)(15,17,18)	18	< 0.1%
(*3,4)11(9,14)12(5,10,18)(15,16)-(13,7)17,6-2=1=8	18	< 0.1%
1,5(3,8,9)6(11,13)(2,10)(17,16)12(14,18)(4,7)-15	18	< 0.1%
10,8(9,12)(6,14)(5,11,16)(3,13,18)(1,17)(2,7,15)-4	18	< 0.1%
15,14(10,16)7(2,12)(6,13)(8,11)(9,17,18)(1,5,4)3	18	< 0.1%
11,14(4,6)16,7(5,15)(9,18)(2,10,13)(1,8,17)-3 12	18	< 0.1%
6,18=16(12,14)(3,8,13)(10,15)(5,17)11(1,4)(7,9)-2	18	< 0.1%
Other values (29012)	337018	99.5%
(Missing)	1394	0.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	1634	0.5%
7	1603	0.4%
9	1580	0.4%
11	1521	0.4%
3	1498	0.4%
2	1443	0.4%
8	1421	0.4%
6	1368	0.4%
10	1368	0.4%
5	1355	0.4%
Other values (29133)	345809	95.9%

Most occurring characters

Value	Count	Frequency (%)
1	2636282	20.4%
,	2413245	18.7%
(	1390072	10.8%
)	1390072	10.8%
2	636980	4.9%
3	617675	4.8%
4	596219	4.6%
5	564112	4.4%
6	530418	4.1%
-	494718	3.8%
Other values (7)	1653541	12.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	6997001	54.1%
Other Punctuation	2522765	19.5%
Open Punctuation	1390072	10.8%
Close Punctuation	1390072	10.8%
Dash Punctuation	494718	3.8%
Space Separator	70206	0.5%
Math Symbol	58500	0.5%

Most frequent character per category

Value	Count	Frequency (%)
1	2636282	37.7%
2	636980	9.1%
3	617675	8.8%
4	596219	8.5%
5	564112	8.1%
6	530418	7.6%
7	382919	5.5%
8	374733	5.4%
9	332260	4.7%
0	325403	4.7%

Value	Count	Frequency (%)
,	2413245	95.7%
*	109520	4.3%

Value	Count	Frequency (%)
(	1390072	100.0%

Value	Count	Frequency (%)
)	1390072	100.0%

Value	Count	Frequency (%)
-	494718	100.0%

Value	Count	Frequency (%)
	70206	100.0%

Value	Count	Frequency (%)
=	58500	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	12923334	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	2636282	20.4%
,	2413245	18.7%
(	1390072	10.8%
)	1390072	10.8%
2	636980	4.9%
3	617675	4.8%
4	596219	4.6%
5	564112	4.4%
6	530418	4.1%
-	494718	3.8%
Other values (7)	1653541	12.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12923334	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	2636282	20.4%
,	2413245	18.7%
(	1390072	10.8%
)	1390072	10.8%
2	636980	4.9%
3	617675	4.8%
4	596219	4.6%
5	564112	4.4%
6	530418	4.1%
-	494718	3.8%
Other values (7)	1653541	12.8%

Corner2
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

4	180141
2	137510
3	19547
0	1394

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	338592
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	4
3rd row	4
4th row	4
5th row	4

Value	Count	Frequency (%)
4	180141	53.2%
2	137510	40.6%
3	19547	5.8%
0	1394	0.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
4	180141	53.2%
2	137510	40.6%
3	19547	5.8%
0	1394	0.4%

Most occurring characters

Value	Count	Frequency (%)
4	180141	53.2%
2	137510	40.6%
3	19547	5.8%
0	1394	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	338592	100.0%

Most frequent character per category

Value	Count	Frequency (%)
4	180141	53.2%
2	137510	40.6%
3	19547	5.8%
0	1394	0.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	338592	100.0%

Most frequent character per script

Value	Count	Frequency (%)
4	180141	53.2%
2	137510	40.6%
3	19547	5.8%
0	1394	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	338592	100.0%

Most frequent character per block

Value	Count	Frequency (%)
4	180141	53.2%
2	137510	40.6%
3	19547	5.8%
0	1394	0.4%

Syukaisu2
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

1	329602
2	7596
0	1394

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	338592
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Value	Count	Frequency (%)
1	329602	97.3%
2	7596	2.2%
0	1394	0.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	329602	97.3%
2	7596	2.2%
0	1394	0.4%

Most occurring characters

Value	Count	Frequency (%)
1	329602	97.3%
2	7596	2.2%
0	1394	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	338592	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	329602	97.3%
2	7596	2.2%
0	1394	0.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	338592	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	329602	97.3%
2	7596	2.2%
0	1394	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	338592	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	329602	97.3%
2	7596	2.2%
0	1394	0.4%

Jyuni2
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	29023
Distinct (%)	8.6%
Missing	1394
Missing (%)	0.4%
Memory size	2.6 MiB

(*5,7)10(3,9,15)(4,12,17)(11,16)14(18,6)(8,1)(2,13)	18
(*6,7)18(2,3,14)(4,8,13,17,10)(1,5,12,15)(9,16,11)	18
6(7,8)-(3,9)=1(10,16)2(12,13)(4,5)14(18,11)15-17	18
10,13,18(3,5)11,2,16,7(1,15)-4(8,6,14)-12-17-9	18
(*6,11,14)16(4,18)(2,9,5)1(7,12,10)15,17,13-8 3	18
Other values (29018)	337108

Length

Max length	57
Median length	40
Mean length	38.39400293
Min length	9

Characters and Unicode

Total characters	12946381
Distinct characters	17
Distinct categories	7 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	(*16,6)-1(2,9)(5,8,12,15)14(3,4)(10,11)-(7,13)
2nd row	8(1,9)5,13(4,12)(2,7,14)(6,10,11)-3
3rd row	8,6(1,7)(2,4)-(5,9)3
4th row	(11,*17)(12,13,18)(8,10)5(2,7)(3,9)16(1,14,15)(6,4)
5th row	(*16,6)-1(2,9)(5,8,12,15)14(3,4)(10,11)-(7,13)

Value	Count	Frequency (%)
(*5,7)10(3,9,15)(4,12,17)(11,16)14(18,6)(8,1)(2,13)	18	< 0.1%
(*6,7)18(2,3,14)(4,8,13,17,10)(1,5,12,15)(9,16,11)	18	< 0.1%
6(7,8)-(3,9)=1(10,16)2(12,13)(4,5)14(18,11)15-17	18	< 0.1%
10,13,18(3,5)11,2,16,7(1,15)-4(8,6,14)-12-17-9	18	< 0.1%
(*6,11,14)16(4,18)(2,9,5)1(7,12,10)15,17,13-8 3	18	< 0.1%
(*9,10)12(5,6)16,11(14,18)(15,8)(1,7)(13,17)2,3=4	18	< 0.1%
1(3,14)(6,17)(9,7,13,16)(2,11,5,12,15)-18-(8,10)=4	18	< 0.1%
(14,*15)(7,18)(5,13)6(1,11)(2,4)(10,9)3,8,12=16 17	18	< 0.1%
(1,*10)11(5,9,8,15)(6,13,14)(2,12,17)7(3,4,18)=16	18	< 0.1%
1,3(2,9)(5,12)(16,14,15)-(6,11,18)(4,8,17)10-13=7	18	< 0.1%
Other values (29013)	337018	99.5%
(Missing)	1394	0.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	1729	0.5%
7	1643	0.5%
11	1627	0.4%
9	1612	0.4%
3	1561	0.4%
8	1514	0.4%
2	1499	0.4%
10	1490	0.4%
6	1488	0.4%
5	1478	0.4%
Other values (29148)	346528	95.7%

Most occurring characters

Value	Count	Frequency (%)
1	2636282	20.4%
,	2412010	18.6%
(	1411680	10.9%
)	1411680	10.9%
2	636980	4.9%
3	617675	4.8%
4	596219	4.6%
5	564112	4.4%
6	530418	4.1%
-	456888	3.5%
Other values (7)	1672437	12.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	6997001	54.0%
Other Punctuation	2523431	19.5%
Open Punctuation	1411680	10.9%
Close Punctuation	1411680	10.9%
Dash Punctuation	456888	3.5%
Space Separator	74913	0.6%
Math Symbol	70788	0.5%

Most frequent character per category

Value	Count	Frequency (%)
1	2636282	37.7%
2	636980	9.1%
3	617675	8.8%
4	596219	8.5%
5	564112	8.1%
6	530418	7.6%
7	382919	5.5%
8	374733	5.4%
9	332260	4.7%
0	325403	4.7%

Value	Count	Frequency (%)
,	2412010	95.6%
*	111421	4.4%

Value	Count	Frequency (%)
(	1411680	100.0%

Value	Count	Frequency (%)
)	1411680	100.0%

Value	Count	Frequency (%)
-	456888	100.0%

Value	Count	Frequency (%)
=	70788	100.0%

Value	Count	Frequency (%)
	74913	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	12946381	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	2636282	20.4%
,	2412010	18.6%
(	1411680	10.9%
)	1411680	10.9%
2	636980	4.9%
3	617675	4.8%
4	596219	4.6%
5	564112	4.4%
6	530418	4.1%
-	456888	3.5%
Other values (7)	1672437	12.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12946381	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	2636282	20.4%
,	2412010	18.6%
(	1411680	10.9%
)	1411680	10.9%
2	636980	4.9%
3	617675	4.8%
4	596219	4.6%
5	564112	4.4%
6	530418	4.1%
-	456888	3.5%
Other values (7)	1672437	12.9%

Corner3
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

0	181535
3	137510
4	19547

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	338592
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	181535	53.6%
3	137510	40.6%
4	19547	5.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	181535	53.6%
3	137510	40.6%
4	19547	5.8%

Most occurring characters

Value	Count	Frequency (%)
0	181535	53.6%
3	137510	40.6%
4	19547	5.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	338592	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	181535	53.6%
3	137510	40.6%
4	19547	5.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	338592	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	181535	53.6%
3	137510	40.6%
4	19547	5.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	338592	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	181535	53.6%
3	137510	40.6%
4	19547	5.8%

Syukaisu3
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

0	181535
1	140138
2	16534
3	385

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	338592
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	181535	53.6%
1	140138	41.4%
2	16534	4.9%
3	385	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	181535	53.6%
1	140138	41.4%
2	16534	4.9%
3	385	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	181535	53.6%
1	140138	41.4%
2	16534	4.9%
3	385	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	338592	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	181535	53.6%
1	140138	41.4%
2	16534	4.9%
3	385	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	338592	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	181535	53.6%
1	140138	41.4%
2	16534	4.9%
3	385	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	338592	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	181535	53.6%
1	140138	41.4%
2	16534	4.9%
3	385	0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	HaronTimeS3	HaronTimeS4	HaronTimeL3_y	HaronTimeL4	Corner1	Syukaisu1	Jyuni1	Corner2	Syukaisu2	Jyuni2
0	335	448	357	468	3	1	(*16,6)(1,9)(2,8,12)(5,14,15)-(3,4)10(7,11)13	4	1	(*16,6)-1(2,9)(5,8,12,15)14(3,4)(10,11)-(7,13)
1	344	458	352	464	3	1	(*8,9)(1,12,13)5(4,14)(7,11)10(2,6)-3	4	1	8(1,9)5,13(4,12)(2,7,14)(6,10,11)-3
2	340	455	356	468	3	1	8,6(1,7)-(2,4)-9(5,3)	4	1	8,6(1,7)(2,4)-(5,9)3
3	340	460	361	476	3	1	17,11(12,13)18(8,10)(5,7)2(3,9,16)(1,14,15)-6,4	4	1	(11,*17)(12,13,18)(8,10)5(2,7)(3,9)16(1,14,15)(6,4)
4	335	448	357	468	3	1	(*16,6)(1,9)(2,8,12)(5,14,15)-(3,4)10(7,11)13	4	1	(*16,6)-1(2,9)(5,8,12,15)14(3,4)(10,11)-(7,13)
5	336	453	356	467	3	1	(*12,9)11(1,8,13,15)7(10,16)2(4,3,6)5,14	4	1	(*12,9)11(1,13,15)8(10,16)(7,3,6)2(5,4)14
6	343	459	355	469	3	1	8(11,14)(1,9)(5,12)(2,7)(6,13)10(3,4)	4	1	8(11,14)(1,9)(5,12)(2,7)(6,13)10-(3,4)
7	344	456	339	451	3	1	16(13,14,15)(6,7,11,12)(5,2,9)10(1,4,8)3	4	1	16,15(13,14)(6,7,11)12,2(5,9)(1,10)(4,8)3
8	343	459	356	468	3	1	9-(13,16)(4,7,11,14)(3,6,8,12)(1,5)(2,10)-15	4	1	9(13,16)(7,14)11(4,6,12)(3,8,1,5)(2,10)=15
9	335	451	363	473	3	1	(1,*14,15)(4,16,17)(9,11)13(3,12,10)8-5,7,6 2	4	1	(1,*14)15,16(11,17)(4,3,13)(9,12)(8,10)5-6,7 2

Last rows

	HaronTimeS3	HaronTimeS4	HaronTimeL3_y	HaronTimeL4	Corner1	Syukaisu1	Jyuni1	Corner2	Syukaisu2	Jyuni2	Corner3	Syukaisu3
338582	340	455	352	467	3	1	2(9,17)(5,15,16)4-7,12(3,8,10)6,14(13,1)11	4	1	2,5,9(15,17)16,8(3,4)12(14,7)(6,10)(11,1)13	0	0
338583	340	455	352	467	3	1	2(9,17)(5,15,16)4-7,12(3,8,10)6,14(13,1)11	4	1	2,5,9(15,17)16,8(3,4)12(14,7)(6,10)(11,1)13	0	0
338584	336	447	349	459	3	1	(1,*13)-(2,17)(3,11)(4,5,14)(6,8)7(10,15)(9,16)-12	4	1	(*1,13)-(3,2)(17,11)(5,14)(4,6,8)-10(15,7)(9,16)-12	0	0
338585	359	483	363	480	1	1	15,7(4,10,17)(3,5,18)14(11,12,16)(1,13)(6,8)2,9	2	1	15,7(4,10,17)(5,18)3(6,11,12,14)(1,16)(8,13)(9,2)	3	1
338586	341	462	359	464	3	1	3(4,6)(1,11)(2,10)14,12(8,9,13)(5,7)	4	1	3(4,6)1(2,11)-(8,12,10)14(9,13)(5,7)	0	0
338587	337	452	349	460	3	1	1(2,9)(3,4,10)(7,11)(5,8)6	4	1	1(7,2)(3,9)(4,10)(11,8)5,6	0	0
338588	358	476	350	468	1	1	1(2,8)(4,5,6,9)11-12,3(7,10)	2	1	1,2(4,8)5(6,9)11-12(3,10)7	3	1
338589	337	452	351	463	3	1	7,17,9(3,14)10(6,13)(1,11,5)15,4(2,8)-16=12	4	1	7(9,17)(3,14)6,10,11(5,13)1(15,16)4(2,8)=12	0	0
338590	363	491	362	486	1	1	1,13,3,4(6,7)9(8,10)(11,12)5,2	2	1	1(3,13)(4,7)(6,10,9)(11,8)12,5-2	3	1
338591	381	512	356	479	1	1	(*4,5)(2,9)(14,10)(1,3,8,12)(6,7)11-(13,16)15	2	1	4,5(2,9)(1,14,10)(8,7,12)3(6,11)(13,16)15	3	1

Most frequent

	HaronTimeS3	HaronTimeS4	HaronTimeL3_y	HaronTimeL4	Corner1	Syukaisu1	Jyuni1	Corner2	Syukaisu2	Jyuni2	count
2118	324	436	354	460	3	1	10-18,2-8(7,14)5(4,9,13)(3,17)(1,11,15)(6,12)16	4	1	10,18-2-(5,8,7,14)(4,9,13)3(1,17)11(6,15)(16,12)	18
2282	330	443	346	455	3	1	11(8,15)5(3,10,17)(7,14)(1,9,13)12(4,2)6-16 18	4	1	(*11,8,15)(5,3,10)(7,9)17(1,2,14)13,12,4,6-16 18	18
2317	330	446	356	463	3	1	(*9,18)-(2,16)(6,14)(4,8,11,13)(3,7,10)1,12-(5,17)15	4	1	9,18-2(6,16)(8,14)(4,13)11(3,10)(1,7)12-(5,17)-15	18
2353	331	444	345	454	3	1	(*4,5,10)(11,12)(6,7,13)(17,18)(2,9,14)(3,8)15,1=16	4	1	(*4,5,10)(11,12)(6,7,13)(17,18)(9,14)-3,8(2,15)1=16	18
2382	331	446	359	468	3	1	(*3,10)(4,11,14)18(6,13)(9,12,16)15(1,7)(5,8,17)2	4	1	(3,*10)4(6,11,14,18)13(9,12,15)(16,7)(5,1)(8,17)2	18
2434	332	446	341	452	3	1	15,10,4(3,13)(2,6,9)(14,17)(5,12)7,16(1,8)18,11	4	1	15(4,10,13)(3,6,9)(2,5,14)7(12,17)(8,16)(1,11,18)	18
2459	332	447	355	465	3	1	(6,*4)-9(1,12)2(3,7,18)(8,11,15,17)13(10,16)(14,5)	4	1	4-6,9(1,12)2(3,18)(8,7,11,15,17)(13,10)16(14,5)	18
2566	333	448	352	460	3	1	(6,*9)-(10,11)(2,5)(3,15)(1,16)17,7(8,14)(4,12,18)13	4	1	(*6,9)=(2,10)(5,11)(3,15)1,17,16,14(4,7)(12,8,18)13	18
2569	333	448	354	464	3	1	(*1,7)(8,10)(4,5,16)14(3,2,12,15)(6,9,17)18(11,13)	4	1	(1,*7,8)(4,10)(3,2,5,16)(6,14,15)(12,17)(11,9,13,18)	18
2651	334	447	343	453	3	1	13,15(6,8,11,17)(10,14)2(9,12)(1,4)(5,7)3,18-16	4	1	13(6,15)(8,11,17)(2,10,14)9,12,1(3,5,4)7-(16,18)	18

Overview

Variables

Most occurring characters

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Most frequent character per category

Most occurring scripts

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Most occurring blocks

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Most occurring characters

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Most occurring scripts

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Most occurring characters

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Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows

Duplicate rows

Most frequent